SUMMARY
- Konko AI raised $6M in funding.
- The funding will support product growth in Latin America.
- Konko AI automates healthcare workflows.
Konko AI, a NYC- and San Josè, Costa Rica-based AI platform to manage patient journeys for healthcare clinics and hospitals in LatAm, has raised $6 million in a funding round led by Hi Ventures.
The round also saw participation from LifeX Ventures, SquareOne Capital, GroundUp Ventures, Phoenix Fund and angels from Harvard, MIT, Google and Tesla.
The company will use the capital to accelerate product development and expand across Latin America.
Funding Snapshot
| Metric | Details |
|---|---|
| Fundraise Amount | $6 Million |
| Valuation | Not disclosed |
| Company | Konko AI |
| Sector | Healthcare AI |
| Headquarters | New York City, US & San José, Costa Rica |
About Konko AI
Founded in 2023 by Jean Marc Goguikian and Michael Haddad, Konko AI was created to help doctors spend more time with patients by reducing administrative workloads. The platform automates patient journeys from first contact and appointment scheduling to follow ups while creating a continuous and interoperable patient record.
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The company has managed more than 2 million patient interactions across 90 healthcare institutions and 60 specialties in Mexico, Colombia, and Costa Rica. Around 75% of interactions are handled end-to-end by AI.
Core offerings include:
- AI-powered appointment scheduling
- Automated patient journeys
- Patient follow-up management
- Continuous patient records
Core Technologies / Products / Services
| Capability/Product | Application/Use Case |
|---|---|
| Medical-grade AI | Automates healthcare workflows |
| Patient Journey Automation | Manages interactions from first contact to follow-ups |
| AI Scheduling | Automates appointment management |
| Patient Context Platform | Creates continuous patient records |
Leadership Comments
"Applying AI to healthcare is more complex than most companies realize. Every clinic has unique workflows across dozens of systems, that's why we've spent years working with providers to build AI that understands how healthcare operates," said Goguikian.
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